Loyalty of young female Arabic customers towards recommendation agents: A new model for B2C E-commerce

Rabab Ali Abumalloh, Othman Ibrahim and Mehrbakhsh Nilashi

Technology in Society, 2020, vol. 61, issue C

Abstract: E-commerce is becoming a major contributor to the worldwide economic system, owing to its adaptability and ease of use for both customers and service providers. Recommender systems are embedded in most modern e-commerce websites, as efficient tools for guiding users to view additional items provided by e-commerce portals. These items are matched with customers' interests depending on their current activities, or on preferences stated in their profiles. As service providers are more concerned with the long-term behavior of customers, and specifically customer loyalty (which bears directly on the long-term success of e-commerce websites), most recommender systems have been developed to consider that aspect. This study investigates the major factors in the loyalty formation of female online shoppers through an e-commerce recommender agent. A new model is introduced, developed, and analyzed for helping to improve e-commerce customer loyalty via the recommender systems. Based on the implications of the results, we can understand research constructs and highlight research outcomes to help in managing recommender systems more effectively.

Keywords: Decision making; Loyalty; Recommender systems; WebQual; E-Commerce websites; Cognitive affect behavior (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:teinso:v:61:y:2020:i:c:s0160791x19303811

DOI: 10.1016/j.techsoc.2020.101253

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